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Comparing neural control and mechanically intrinsic control of powered ankle exoskeletons.

, , and . ICORR, page 294-299. IEEE, (2017)

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High-density EEG and independent component analysis mixture models distinguish knee contractions from ankle contractions., and . EMBC, page 4195-4198. IEEE, (2011)A Physiologist's Perspective on Robotic Exoskeletons for Human Locomotion., , and . Int. J. Humanoid Robotics, 4 (3): 507-528 (2007)'Body-in-the-Loop' Optimization of Assistive Robotic Devices: A Validation Study., , , and . Robotics: Science and Systems, (2016)Group-level cortical and muscular connectivity during perturbations to walking and standing balance., and . NeuroImage, (2019)Comparing neural control and mechanically intrinsic control of powered ankle exoskeletons., , and . ICORR, page 294-299. IEEE, (2017)Preliminary Validation of Proportional Myoelectric Control of A Commercially Available Robotic Ankle Exoskeleton., and . ICORR, page 1-5. IEEE, (2022)Usability of EEG Systems: User Experience Study., , , , , , , and . PETRA, page 34. ACM, (2016)Using portable physiological sensors to estimate energy cost for 'body-in-the-loop' optimization of assistive robotic devices., , and . GlobalSIP, page 413-417. IEEE, (2017)iCanClean Improves Independent Component Analysis of Mobile Brain Imaging with EEG., , and . Sensors, 23 (2): 928 (January 2023)Adding neck muscle activity to a head phantom device to validate mobile EEG muscle and motion artifact removal *., , , , and . NER, page 275-278. IEEE, (2019)